Welcome to JOURNAL OF SICHUAN UNIVERSITY (MEDICAL SCIENCES) July 26, 2025
Volume 49 Issue 6
Nov.  2018
Turn off MathJax
Article Contents
QU Hong-mei, BAI Ya-na. Establishing a Combination Model in Predicting Mortality of Lung Cancer[J]. Journal of Sichuan University (Medical Sciences), 2018, 49(6): 960-962.
Citation: QU Hong-mei, BAI Ya-na. Establishing a Combination Model in Predicting Mortality of Lung Cancer[J]. Journal of Sichuan University (Medical Sciences), 2018, 49(6): 960-962.

Establishing a Combination Model in Predicting Mortality of Lung Cancer

More Information
  • Published Date: November 19, 2018
  • Objective To identify a good combination model for predicting the mortality of lung cancer. Methods Mortality data of lung cancer from 2001-2013 were used to test three prediction model: dynamic series, exponential smoothing, and Joinpoint regression. Weight coefficients of the combination models were calculated using the arithmetic average method, the variance inverse method, the mean square error inverse method, and the simple weighted average method. Results The exponential smoothing model had the highest accuracy (79.67%) of prediction, followed by the Joinpoint linear model (74.27%). The combination of these two models resulted in better results. The arithmetic average method and the mean square error inverse method had the best prediction, with an accuracy of 86.87% and 85.80%, respectively. Conclusion The combined model has higher accuracy than the single models in predicting the mortality of lung cancer.

Catalog

    Article views (2007) PDF downloads (33) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return